资源列表
invoke-a-CGI
- 一个用来调用CGI脚本的例子，是一个简单但是经典的MIDlet示例。-An example MIDlet to invoke a CGI scr ipt (GET method），Learning Wireless Java Help for New J2ME Developers By Qusay Mahmoud */ import java.io.* import javax.microedition.io.* import javax.microed
HTTP-MIDlet
- 一个HTTP MIDlet编程例子，非常经典，来自J2ME in a Nutshell一书-An HTTP MIDlet programming examples, very classic, from J2ME in a Nutshell book
httpconnection-1
- J2ME httpconnection,J2Me环境中用来建立HTTP 的连接用的-J2ME httpconnection, J2Me environment used to establish the connection using HTTP
ETS6630ATCommand
- ETS6630 AT specification
bfsk
- clear all snrdB_min = 0 snrdB_max = 10 SNR (in dB)limits snrdB = snrdB_min:1:snrdB_max Nsymbols = input( Enter number of symbols > ) snr = 10.^(snrdB/10) convert from dB h = waitbar(0, SNR Iteration ) -clear all snrdB_min =
speedyGA
- SpeedyGA is a vectorized implementation of a Simple Genetic Algorithm in Matlab Version 1.3 Copyright (C) 2007, 2008, 2009 Keki Burjorjee Created and tested under Matlab 7 (R14). Licensed under the Apache License, Version 2.0 (the "L
Pade
- Programme for pades approximation this is the generalised program for calulating the numorator and denominator coefficients for modelling x(n) progrmme writtem by Mr. Bhalke D.G. research scholor - Programme for pades approximation
plotATM
- This function reads a pair of files generated by wfdbmat from a PhysioBank record, baseline-corrects and scales the time series contained in the .mat file, and plots them. The baseline-corrected and scaled time series are the rows of mat
echo1
- Adaptive Echo Canceller Using a Modified LMS Algorithm Abstract –– In this paper, an echo canceller is presented, using an adaptive filter with a modified LMS (Least Mean Square) algorithm, where this modification is achieved coding error on con
pulse_shaping
- pulse shaping function: Upsampling the data and Pulse-shaping. Suitable for intergate number of upsampling_rate. psflt_data has the same length with that of data times upsampling_rate. if the length of pulse_filter is 2*grp_delay*upsampl
MSE_compa4re
- Author: Vinay Uday Prabhu E-mail: vinay_u_prabhu@yahoo.co.uk Function: Comparison of the performances of the LS and the MMSE channel estimators for a 64 sub carrier OFDM system based on the parameter of Mean square error Assumptions: The
lms3
- w=(randn(1,M)-randn(1,M))/100 d=zeros(1,M) u=zeros(1,M) u_out=zeros(1,e_max-M) f_out=zeros(1,e_max-M) X delayed input data vector Y measured signal W coefficient vector E enhanced signal clc N=30 f